Be sure to start each response with a clear identification of your random variable. Be sure it is numerical, not something like "Let X = students". Instead, a typical problem should be something like this: "Let X = number of students per hour who enter Koch Center on Wednesday between 10 AM and noon. Assume X has Poisson distribution with mean 160. Figure out the probability that more than 180 will enter Koch Center next Wednesday between 10 and 10:30 AM."
1. Discrete Uniform
3. Binomial (with n = 10 and ϴ = 0.6)
5. Negative Binomial (with k = 5)
8. Multinomial (with n = 3)
9. Multivariate Hypergeometric
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